Senior AI Engineer

Job Post for Atrina TechnologiesJob Title: Senior AI EngineerLocation: Goregaon, MumbaiExperience: 4-7 years of experienceRole:We’re a product company specialising in Artificial Intelligence, Machine Learning, Data Analytics, and Cloud-based technologies. If you're passionate about architecting and delivering cutting-edge AI solutions at scale, this role will give you ownership across the full AI lifecycle. As a Senior AI Engineer, you will lead and collaborate with engineers, data scientists, and product teams to design, implement, and optimise AI-powered solutions, with significant hands-on work on Large Language Models (LLMs), machine learning workflows, and end-to-end AI product development.Job Responsibilities:Model Development & Integration: Lead the design, development, and fine-tuning of LLMs and GenAI solutions such as enterprise chatbots, task-specific AI assistants, and ML-driven solutions for prediction, forecasting, and decision support.Solution Architecture: Define AI solution architectures, select appropriate models, frameworks, and tooling, and ensure robustness, scalability, observability, and security in production environments.Data Handling & MLOps: Oversee data collection, cleaning, preprocessing, and feature engineering; work closely with data engineers to set up reliable data pipelines and model retraining workflows.AI Frameworks: Build, evaluate, and optimise AI solutions using frameworks like LangChain, LangGraph, CrewAI, LlamaIndex, TensorFlow, and PyTorch, and drive best practices in prompt engineering, evaluation, and guard railing.Deployment & Productionization: Own or co-own deployment of models to production (APIs, microservices, or batch jobs), ensuring performance, cost efficiency, monitoring, and seamless integration with existing systems.Technical Leadership: Mentor junior AI engineers and interns, review code and design documents, and establish coding standards, experimentation practices, and documentation norms for the AI team.Collaboration: Partner with senior stakeholders, software developers (SDEs), product managers, and clients to translate business problems into AI solutions and drive them from concept to successful delivery. Research & Innovation: Continuously evaluate the latest developments in generative AI, NLP, ML, and LLMOps; run PoCs; and recommend new techniques, models, or tools that can improve product capabilities. Documentation & Communication: Maintain clear technical documentation, experiment logs, and architecture diagrams; present design choices, trade-offs, and results effectively to technical and non-technical audiences.Skills & QualificationsEducation:Bachelor’s degree in Computer Science, Data Science, Artificial IntelligenceMaster’s degree or relevant certifications in AI/ML, data science, or cloud platforms is a plus.Experience:4–7 years of hands-on experience in AI/ML engineering, with at least some experience delivering production-grade AI or GenAI solutions end to end. Proven experience working with LLMs, NLP, and ML workflows in real-world projects.Technical skills:Strong proficiency in Python and solid working knowledge of SQL.Ability to write clean, efficient, modular code following good coding and testing practices.Experience with Git/GitHub and modern development workflows (branching, PR reviews, CI).Hands-on experience building APIs and services using FastAPI (or similar) and creating internal tools/dashboards using Streamlit (or similar).Deep understanding of core ML concepts (supervised/unsupervised learning, evaluation metrics, feature engineering) and practical experience with NLP and GenAI solutions.Practical experience with one or more AI orchestration / LLM frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex.Strong experience with deep learning frameworks like TensorFlow and/or PyTorch for training, fine-tuning, and serving models.Exposure to MLOps concepts (model versioning, experiment tracking, monitoring, CI/CD for ML) is highly desirable.Familiarity with at least one major cloud platform (AWS, GCP, or Azure), including basic services for compute, storage, and AI/ML tooling.Ability to profile and optimise model performance (latency, throughput, cost).Other skills:Strong analytical and problem-solving abilities, with a structured approach to debugging data, models, and systems.Attention to detail and a proactive, ownership-driven mindset.Good verbal and written communication skills, including the ability to explain complex AI concepts to non-technical stakeholders.Ability to work independently and collaboratively in a fast-paced, product-focused environment, managing multiple initiatives in parallel.Comfortable mentoring junior team members and contributing to a culture of learning and innovation.Benefits:Actual salaries will vary depending on a candidate's experience, qualifications, skills and location.Medical InsurancePaid LeavesFlexible work schedulesDevelopment and career growth opportunitiesOpen Time Off